code: def image_load(path) -> numpy.ndarray:
      """
      Loads an image in the shape expected by other functions in this module.
      Doesn't Tensor it, in case you need to do further work with it.
      """
      # file
      na = numpy.array(Image.open(path))
      if na.shape[2] == 4:
          # RGBA -> RGB (covers opaque images with alpha channels)
          na = na[:, :, 0:3]
      # fix shape
      na = numpy.moveaxis(na, [2, 0, 1], [0, 1, 2])
      # shape is now (3,h,w), add 1
      na = na.reshape(1, 3, na.shape[1], na.shape[2])
      # change type
      na = na.astype("float32") / 255.0
      return na
  
file_path: tinygrad/examples/vgg7_helpers/waifu2x.py
imports: import numpy
  from tinygrad.tensor import Tensor
  from PIL import Image
  from tinygrad.helpers import fetch
label_desc: Use image node_id 1 for calling a global function with example usage: image_load(path) and returns: na